Borrowing it
Nothing to install: this file belongs to psu-efd/pyHMT2D. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/psu-efd/pyHMT2D/main/.agents/skills/hmt-status/SKILL.mdgit clone --depth 1 https://github.com/psu-efd/pyHMT2DWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/psu-efd/pyhmt2d/hmt-status)<a href="https://agentmods.dev/skills/psu-efd/pyhmt2d/hmt-status"><img src="https://agentmods.dev/badge/skills/psu-efd/pyhmt2d/hmt-status.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00055 | $0.00417 |
| Opus 5 | $0.00028 | $0.00209 |
| Sonnet 5 | $0.00011 | $0.00083 |
| Haiku 4.5 | $0.00006 | $0.00042 |
Grade A, and why
hmt-status scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Show the current pyHMT2D session state and suggest next steps.
Steps
-
Check for an active session. Look for
.hmt_session.jsonin the current directory. If absent: tell the user there is no active session and suggest/hmt-open. -
Query the live session.
hmt-cli get_simulation_status -
Present a session summary as a formatted report:
- Model type (SRH-2D / HEC-RAS)
- Project file (show basename only for readability)
- Results loaded (yes / no)
- Available result variables (comma-separated list)
- Number of result time steps
- Last VTK file exported (basename, or "none")
- Solver configured (yes if
_srh_pathor_hecras_versionis set, else no)
-
Suggest next steps based on current state:
- Project not open → "Run
/hmt-opento open a project." - Project open, no results → "Run
/hmt-runto simulate, or/hmt-resultsto load existing results." - Results loaded, no VTK → "Run
/hmt-resultsto query results or/hmt-exportto create VTK files." - VTK available → "Run
/hmt-resultsto probe values, or/hmt-calibrate//hmt-monte-carlofor analysis." - To close the HEC-RAS GUI without clearing the session:
hmt-cli exit_model - To reset everything and start fresh:
hmt-cli close_session
- Project not open → "Run
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 6d ago First seen · 35 lines · 55 tokens per session scan A 97a5495a34bf
hmt-status is a skill published in the GitHub repository psu-efd/pyHMT2D (130 stars, last pushed 27d ago), licensed MIT. It adds 55 tokens to every session and 417 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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